# CircularList

## Installation

```
]add CircularList
```

## Features

It is essentially a doubly linked list.

- Adding a new node is
*O(1)* - Delete an existing node is
*O(1)* - Ability to handle millions of nodes

## How to use?

To construct a circular list, you must start with at least 1 datum element.

```
h = circularlist(0) # CircularList.List(0)
h = circularlist([1,2]) # CircularList.List(1,2)
```

When inserting new data, the new node becomes the *head*.

```
h = circularlist(0) # CircularList.List(0)
insert!(h, 1) # CircularList.List(1,0)
insert!(h, 2) # CircularList.List(2,0,1)
insert!(h, 3) # CircularList.List(3,0,1,2)
```

When deleting the current node, the previous node becomes the *head*:

```
delete!(h) # CircularList.List(2,0,1)
```

You can move the head pointer in any direction:

```
forward!(h) # CircularList.List(0,1,2)
backward!(h) # CircularList.List(2,0,1)
shift!(h, 2) # CircularList.List(1,2,0)
shift!(h, -2) # CircularList.List(2,0,1)
```

Or, if you have a reference to a specific node, you can jump to that node directly and that node becomes the head!

```
jump!(h, node)
```

You can get the current head and tail node as follows:

```
head(h) # CircularList.Node(2)
tail(h) # CircularList.Node(1)
```

You can peek at the data of current, previous, or next nodes:

```
current(h) # 2
previous(h) # 1
next(h) # 0
```

Most methods returns `CircularList.List`

so they are highly chainable:

julia> using Lazy
julia> @> h = circularlist(0) insert!(1) insert!(2) insert!(3) forward!
CircularList.List(0,1,2,3)

It is iteration friendly:

```
[x for x in h] # Int[2,0,1]
sum(x for x in h) # 3
```

## How does it perform?

Ingestion is fairly linear.

julia> @btime addmany(1000);
24.908 μs (1003 allocations: 54.97 KiB)
julia> @btime addmany(10000);
255.348 μs (10004 allocations: 547.11 KiB)
julia> @btime addmany(100000);
2.852 ms (100004 allocations: 5.34 MiB)
julia> @btime addmany(1000000);
31.802 ms (1000004 allocations: 53.41 MiB)